Eliminating the need for training and avoiding the mess of model mismatch.

Considering the effect of cover variation on the existing steganalysis features.

Proposing a new unsupervised universal steganalysis framework via SRISP-aided outlier detection.

There are two main differences compared to traditional unsupervised outlier detection framework.

The effectiveness of the proposed framework is proved qualitatively and quantitatively.